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The Who's Who of AI

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Showing signals surfaced by Eugene Vinitsky ×

The questions experts are actively pulling apart

One card per development. Sources are clustered; reaction bundles describe these posts, never the people behind them.

Developing Models & releases Research 2d ago
⚡ 4 h early
LLMs distort written language paper

How LLMs Distort Our Written Language

4 experts across 2 network communities independently surfaced this.

Why this matches Research & technical analysis reaction 3 attributable expert contributions · Eugene Vinitsky, Ben Williamson, Jed Brown
“Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161” evidence ↗
4 experts 2 communities 1 sources clustered
How the network is reacting 3 experts are independently emphasizing research & technical analysis.
Reaction converging

Research & technical analysis

3 experts

Evidence, methods and technical implications.

“Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161”

3 experts discussed this · 4 posts
Eugene Vinitsky: Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161
Eugene Vinitsky: Sitting in Marwa's fantastic PhD defense, trying my best not to just retweet all her papers
Isaiah Bishop: Fantastic paper demonstrating how LLM editing is gradually distorting our writing and the way we think to write: arxiv.org/abs/2603.18161
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Established AI field signal Signal 19d ago
⚡ 274 h early

A Compositional Framework for Open-ended Intelligence

2 experts are actively discussing the implications.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Ida Momennejad
“In the neuro->AI direction cog sci insights can help shift 1-AI evaluation from benchmarks to adaptive paradigms 2-AI architecture from input-output/next-token objectives to pre-/post-training over algorithmic operations/ grammar. We're developing next-prim…” evidence ↗
2 experts 2 communities 1 sources clustered

“In the neuro->AI direction cog sci insights can help shift 1-AI evaluation from benchmarks to adaptive paradigms 2-AI architecture from input-output/next-token objectives to pre-/post-training over algorithmic operations/ grammar. We're developing next-prim…”

2 experts discussed this · 7 posts
Ida Momennejad: New work with Roberta Raileanu: A Compositional Framework for Open-ended Intelligence Open-ended intelligence is the capacity to adapt to novel problems & environments that are substantially differ…
Ida Momennejad: A mathematics of open-ended intelligence needs 2 pillars: 1. a minimal set of representational primitives and algorithmic primitives 2. an acquired compositional grammar for selection, recursion, &…
Ida Momennejad: We formalize open-ended intelligence in terms of the compositional closure induced by a finite primitive set P & a set of composition operators C. We characterize properties of the induced closure …
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Established Agents & robotics Analysis 9d ago
⚡ 40 h early
RL evaluation bottleneck analysis

RL is bottlenecked by evaluation, not algorithms - rl-blogging

2 experts are actively discussing the implications.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Eugene Vinitsky
“If like me you're curious why most algorithmic papers in RL land with a thud, here's my argument as to why.” evidence ↗
2 experts 2 communities 1 sources clustered

“If like me you're curious why most algorithmic papers in RL land with a thud, here's my argument as to why.”

2 experts discussed this · 4 posts
Eugene Vinitsky: If like me you're curious why most algorithmic papers in RL land with a thud, here's my argument as to why.
Eugene Vinitsky: As always my rule is write fast with minimal editing, so forgive the mistakes. They at least prove minimal LLM involvement.
Miguel Alonso Jr.: If like me you're curious why most algorithmic papers in RL land with a thud, here's my argument as to why.
Open the full discussion →
Established Models & releases Signal 10d ago
⚡ 3 h early

LLMs Can Design Near-Optimal OR Algorithms

2 experts are actively discussing the implications.

Why this matches Research & technical analysis reaction 1 attributable expert contribution · Eugene Vinitsky
“Well arxiv.org/abs/2608.27296” evidence ↗
1 expert 1 community 1 sources clustered
2 experts discussed this · 3 posts
Eugene Vinitsky: Well arxiv.org/abs/2608.27296
angela zhou: very nice and interesting study! To be fair though the algorithms to the benchmarks are also well-known in the literature. maybe some are paywalled
Eugene Vinitsky: Yeah, I think the main takeaway is more that if you're able to formalize the problem, which of course is already somewhat a task for experts, you can get quite far away after that falling back on L…
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What experts are discussing without an anchoring article

6 experts · 21 posts · 9d ago
Matches Research & technical analysis
“Do you have thoughts on what kinds of [academic] research will be able to actually have an effect on the trajectory? (Currently feeling a bit cynical 😭)” evidence ↗
Multiple readings Research & technical analysis · 2 Building & implementation · 1 Questions & unknowns · 1
Eugene Vinitsky: Repulsed by the idea that we should sit idly by while frontier labs determine the trajectory of the AI transition. They don’t know how to make systems “safe” or “aligned“ nor do any such notions ma…
Eugene Vinitsky: I think, without ever acknowledging it explicitly, I had sort of resigned myself to this. But now I feel weirdly re-inspired to do some useful work here
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5 experts · 19 posts · 17d ago
Matches Research & technical analysis
“Right i think a lot of this was like "wow look at our results, we're so scared of them, thats why you should invest" early on” evidence ↗
Multiple readings Questions & unknowns · 2 Concern & critique · 1 Research & technical analysis · 1
Eugene Vinitsky: The main reason AI companies went with the obviously bad PR strategy of “AI will take all jobs“ is that they believe it and it worries them
Eugene Vinitsky: This is a much more parsimonious hypothesis than “these people are too stupid to understand that this campaign will incur backlash”
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4 experts · 13 posts · 10d ago
Matches Research & technical analysis
“Maybe if we had fixed this, AI training data collection could have just slotted right in to the existing payment system, and wouldn't have made everybody quite so mad.” evidence ↗
Multiple readings Concern & critique · 1 Policy & governance · 1 Markets & investment · 1
Ryan Moulton: Paying for internet content without putting a paywall in front of it is still, 40 years later, the central problem with the internet that remains unsolved.
Ryan Moulton: ~All media are non-rivalrous. There is no physical or technical reason to ever restrict access to any of it, except that we don't otherwise have any means to pay the creator.
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2 experts · 6 posts · 12d ago
Matches Research & technical analysis
“All of AI is now an act of political or cultural transformation but AI researchers are not trained to think of either of these things. Worse, we are heavily selected to distrust external expertise” evidence ↗
Shared emphasis Research & technical analysis · 2
Eugene Vinitsky: All of AI is now an act of political or cultural transformation but AI researchers are not trained to think of either of these things. Worse, we are heavily selected to distrust external expertise
Eugene Vinitsky: This is how you wind up with pronouncements like “AI will replace Wikipedia“ without the understanding that Wikipedia is as much about the process of collective agreement as it is about anything else
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2 experts · 4 posts · 14d ago
Matches Research & technical analysis
“Really good overview of how arxiv is thinking about handling the incoming LLM wave and the considerations going into it” evidence ↗
Shared emphasis Research & technical analysis · 2
Eugene Vinitsky: Really good overview of how arxiv is thinking about handling the incoming LLM wave and the considerations going into it
Maria Antoniak: We’re already incredibly overworked. We already have too many paper reviews to write and too many other important service roles. Unless someone is really passionate about the arxiv and see it as a …
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